SearXNG MCP server

@nik-sharky

代码仓库

基本信息

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传输方式

stdio

作者

nik-sharky

提交者

Nik

关于 SearXNG MCP server

A Model Context Protocol (MCP) server that provides web search capabilities by integrating with a SearXNG instance.

#search #searxng#self-hosted-search

SearXNG MCP server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "searxng-mcp-nik-sharky": {
      "command": "python",
      "args": [
        "searxng_mcp.py",
        "--transport",
        "http",
        "--port",
        "32123",
        "--searxng",
        "http://searx.lan"
      ]
    }
  }
}

SearXNG MCP server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is SearXNG MCP server?

A Model Context Protocol (MCP) server that provides web search capabilities by integrating with a SearXNG instance. It aggregates results from over 130 engines and supports advanced search parameters for precise queries.

How to use SearXNG MCP server?

Install Python 3.10+, clone the repository, and install dependencies with pip install -r requirements.txt. Run the server using python searxng_mcp.py --transport http --port 32123 --searxng http://your-searxng-instance:8080. Configuration can be set via environment variables (SEARXNG_URL, MCP_PORT, MCP_HOST) or command-line arguments. Docker is also supported for containerized deployment.

Key features of SearXNG MCP server

Aggregated web search across 130+ engines.
Programmatic discovery of categories and engines.
Supports stdio, HTTP, and SSE transports.
Flexible configuration via environment variables and CLI.
Advanced parameters: categories, engines, language, pageno, time_range, safesearch.

Use cases of SearXNG MCP server

Integrate aggregated web search into AI agents or assistants.
Retrieve specialized content (images, news, science, maps) programmatically.
Dynamically adapt to available engines and categories via discovery tools.
Deploy a stateless search service for scalable, multi-client environments.

常见问题

What prerequisites are needed to run SearXNG MCP server?

Python 3.10+ and a running SearXNG instance (accessible via HTTP) are required.

How do I configure the server?

Set `SEARXNG_URL`, `MCP_PORT`, and `MCP_HOST` in a `.env` file, or pass them as command-line arguments (e.g., `--searxng http://instance:8080`).

What transport options are available?

The server supports `stdio` (default for some clients), `http` (stateless HTTP), and `sse` (Server-Sent Events) transports.

How can I filter search results?

Use the `categories` (e.g., `news,it`), `engines` (e.g., `google,wikipedia`), `language`, `pageno`, `time_range` (`day`, `month`, `year`), and `safesearch` (0–2) parameters.

Can I discover available categories and engines dynamically?

Yes, the `searxng_get_info` tool returns the list of enabled categories and engines from your SearXNG instance.

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